Source code for simba.video_processors.roi_selector_polygon

import os
from typing import Optional, Tuple, Union

import cv2
import numpy as np
from scipy.spatial.distance import cdist
from shapely.geometry import Polygon

from simba.utils.checks import (check_file_exist_and_readable,
                                check_if_valid_img, check_if_valid_rgb_tuple,
                                check_int, check_str)
from simba.utils.enums import Options
from simba.utils.errors import InvalidFileTypeError
from simba.utils.read_write import get_fn_ext, read_frm_of_video
from simba.utils.warnings import ROIWarning


[docs]class ROISelectorPolygon(object): """ Class for selecting a polygonal region of interest (ROI) within an image or video frame. The selected region vertices are stored in self: polygon_vertices. .. video:: _static/img/roi_selector_polygon.webm :width: 700 :autoplay: :loop: :muted: :align: center :param Union[str, os.PathLike] path: Path to the image or video file. Can also be an image represented as a numpy array. :param int thickness: Thickness of the polygon border when visualizing the ROI. :param Tuple[int, int, int] clr: BGR color tuple for visualizing the ROI. Default: deep pink. :param Optional[str] title: Title of the drawing window. If None, then `Draw ROI - Press ESC when drawn`. :raises InvalidFileTypeError: If the file type is not supported. :raises CropWarning: If the selected ROI extends beyond the image boundaries or if the number of vertices is less than 3. :example: >>> polygon_selector = ROISelectorPolygon(path='/Users/simon/Desktop/amber.png') >>> polygon_selector.run() >>> polygon_selector = ROISelectorPolygon(path='/Users/simon/Desktop/Box2_IF19_7_20211109T173625_4_851_873_1_cropped.mp4') >>> polygon_selector.run() """ def __init__(self, path: Union[str, os.PathLike, np.ndarray], thickness: int = 2, vertice_size: int = 3, clr: Tuple[int, int, int] = (147, 20, 255), title: Optional[str] = None, destroy: bool = True) -> None: check_if_valid_rgb_tuple(data=clr) check_int(name="Thickness", value=thickness, min_value=1, raise_error=True) check_int(name="vertice_size", value=vertice_size, min_value=1, raise_error=True) if title is not None: check_str(name="ROI title window", value=title) if isinstance(path, np.ndarray): check_if_valid_img(path, source=self.__class__.__name__, raise_error=True) self.image = path else: check_file_exist_and_readable(file_path=path) _, filename, ext = get_fn_ext(filepath=path) if ext in Options.ALL_VIDEO_FORMAT_OPTIONS.value: self.image = read_frm_of_video(video_path=path) elif ext in Options.ALL_IMAGE_FORMAT_OPTIONS.value: self.image = cv2.imread(path) else: raise InvalidFileTypeError( msg=f"Cannot crop a {ext} file.", source=self.__class__.__name__ ) if title is None: title = f"Draw ROI video {filename} - Press ESC when drawn" self.img_cpy = self.image.copy() self.w, self.h = self.image.shape[1], self.image.shape[0] if title is None: self.title = "Draw ROI - Press ESC when drawn" else: self.title = title self.drawing, self.clr, self.thickness, self.destroy, self.vertice_size = False, clr, thickness, destroy, vertice_size self.polygon_vertices, self.terminate = [], False
[docs] def draw_polygon(self, event, x, y, flags, param): if event == cv2.EVENT_LBUTTONDOWN: self.polygon_vertices.append((x, y)) self.drawing = True elif event == cv2.EVENT_MOUSEMOVE: if self.drawing: temp_img = self.image.copy() for i in range(len(self.polygon_vertices) - 1): cv2.line(temp_img, self.polygon_vertices[i], self.polygon_vertices[i + 1], self.clr, self.thickness) cv2.imshow(self.title, temp_img) elif event == cv2.EVENT_LBUTTONUP: self.drawing = False temp_img = self.image.copy() for i in range(len(self.polygon_vertices) - 1): cv2.line(temp_img, self.polygon_vertices[i], self.polygon_vertices[i + 1], self.clr, self.thickness) cv2.imshow(self.title, temp_img)
[docs] def run(self): cv2.namedWindow(self.title, cv2.WINDOW_NORMAL) cv2.setMouseCallback(self.title, self.draw_polygon) while not self.terminate: img_copy = self.image.copy() for i in range(len(self.polygon_vertices)): cv2.circle(img_copy, center=self.polygon_vertices[i], radius=self.vertice_size, color=self.clr, thickness=-1) for i in range(len(self.polygon_vertices) - 1): cv2.line(img_copy, self.polygon_vertices[i], self.polygon_vertices[i + 1], self.clr, self.thickness) if self.drawing and len(self.polygon_vertices) > 0: cv2.line(img_copy, self.polygon_vertices[-1], (self.polygon_vertices[-1][0], self.polygon_vertices[-1][1]), self.clr, self.thickness,) cv2.imshow(self.title, img_copy) key = cv2.waitKey(1) if key in [27, ord("q"), ord("Q"), ord(" ")]: if self.run_checks(): if self.destroy: cv2.destroyAllWindows() cv2.waitKey(1) self.terminate = True break
[docs] def run_checks(self): if len(list(set(self.polygon_vertices))) < 3: ROIWarning(msg="ROI WARNING: At least 3 unique vertices are needed to form a polygon. Please try again.", source=self.__class__.__name__) return False else: self.polygon = Polygon(np.array(self.polygon_vertices)).simplify(tolerance=20, preserve_topology=True) self.polygon_vertices = np.array(self.polygon.exterior.coords) self.polygon_area = self.polygon.area self.polygon_arr = np.array(self.polygon.exterior.coords).astype(np.int32)[1:] self.max_vertice_distance = np.max(cdist(self.polygon_vertices, self.polygon_vertices).astype(np.int32)) self.polygon_centroid = np.array(self.polygon.centroid).astype(int) self.tags = {f'Tag_{cnt}': tuple(y) for cnt, y in enumerate(self.polygon_arr)} self.tags['Center_tag'] = tuple(self.polygon_centroid) return True